ASN1
Gene Ontology Biological Process
Gene Ontology Molecular Function
ASN2
Gene Ontology Biological Process
Gene Ontology Molecular Function
Phenotypic Enhancement
A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene.
Publication
Protein Moonlighting Revealed by Noncatalytic Phenotypes of Yeast Enzymes.
A single gene can partake in several biological processes, and therefore gene deletions can lead to different-sometimes unexpected-phenotypes. However, it is not always clear whether such pleiotropy reflects the loss of a unique molecular activity involved in different processes or the loss of a multifunctional protein. Here, usingSaccharomyces cerevisiaemetabolism as a model, we systematically test the null hypothesis that enzyme ... [more]
Throughput
- Low Throughput
Ontology Terms
- phenotype: vegetative growth (APO:0000106)
Additional Notes
- double mutants show increased defects
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| ASN2 ASN1 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | 10 | BioGRID | 3608571 | |
| ASN1 ASN2 | Cross-Linking-MS (XL-MS) Cross-Linking-MS (XL-MS) An interaction is detected between two proteins using chemically reactive or photo-activatable cross-linking reagents that covalently link amino acids in close proximity, followed by mass spectrometry analysis to identify the linked peptides (reviewed in PMID 37406423, 37104977). Experiments may be carried with live cells or cell lysates in which all proteins are expressed at endogenous levels (e.g. PMID 34349018, 35235311) or with recombinant proteins (e.g., PMID 28537071). | High | - | BioGRID | 3730460 | |
| ASN2 ASN1 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.0947 | BioGRID | 539283 | |
| ASN1 ASN2 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 161637 | |
| ASN1 ASN2 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 346322 | |
| ASN1 ASN2 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 2486414 | |
| ASN1 ASN2 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | High | - | BioGRID | 348266 | |
| ASN1 ASN2 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 345824 |
Curated By
- BioGRID